1 0 SNES Function norm 10.2781 2 0 KSP Residual norm 10.1621 3 1 KSP Residual norm 2.54801 4 2 KSP Residual norm 1.58203 5 3 KSP Residual norm 0.838201 6 Linear solve converged due to CONVERGED_RTOL iterations 3 7 1 SNES Function norm 1.05621 8 0 KSP Residual norm 0.838201 9 1 KSP Residual norm 0.650324 10 2 KSP Residual norm 0.360822 11 3 KSP Residual norm 0.20776 12 4 KSP Residual norm 0.0960564 13 5 KSP Residual norm 0.0567234 14 Linear solve converged due to CONVERGED_RTOL iterations 5 15 2 SNES Function norm 0.0576719 16 0 KSP Residual norm 0.0567234 17 1 KSP Residual norm 0.0496642 18 2 KSP Residual norm 0.0369519 19 3 KSP Residual norm 0.0131327 20 4 KSP Residual norm 0.0099831 21 5 KSP Residual norm 0.00717354 22 6 KSP Residual norm 0.0023424 23 Linear solve converged due to CONVERGED_RTOL iterations 6 24 3 SNES Function norm 0.00345787 25 0 KSP Residual norm 0.0023424 26 1 KSP Residual norm 0.0017353 27 2 KSP Residual norm 0.00105718 28 3 KSP Residual norm 0.000557015 29 4 KSP Residual norm 0.000351944 30 5 KSP Residual norm 0.000179459 31 Linear solve converged due to CONVERGED_RTOL iterations 5 32 4 SNES Function norm 0.000200279 33 0 KSP Residual norm 0.000179459 34 1 KSP Residual norm 0.000131462 35 2 KSP Residual norm 6.26777e-05 36 3 KSP Residual norm 3.85537e-05 37 4 KSP Residual norm 3.0915e-05 38 5 KSP Residual norm 1.51535e-05 39 Linear solve converged due to CONVERGED_RTOL iterations 5 40 5 SNES Function norm 2.6724e-05 41 0 KSP Residual norm 1.51535e-05 42 1 KSP Residual norm 6.6192e-06 43 2 KSP Residual norm 4.47144e-06 44 3 KSP Residual norm 3.99377e-06 45 4 KSP Residual norm 1.5097e-06 46 Linear solve converged due to CONVERGED_RTOL iterations 4 47 6 SNES Function norm 2.32971e-06 48 0 KSP Residual norm 1.5097e-06 49 1 KSP Residual norm 9.72569e-07 50 2 KSP Residual norm 7.30195e-07 51 3 KSP Residual norm 3.51447e-07 52 4 KSP Residual norm 1.92251e-07 53 5 KSP Residual norm 9.94109e-08 54 Linear solve converged due to CONVERGED_RTOL iterations 5 55 7 SNES Function norm 1.05177e-07 56 0 KSP Residual norm 9.94109e-08 57 1 KSP Residual norm 5.71902e-08 58 2 KSP Residual norm 2.33661e-08 59 3 KSP Residual norm 1.62885e-08 60 4 KSP Residual norm 1.13486e-08 61 5 KSP Residual norm 6.76605e-09 62 Linear solve converged due to CONVERGED_RTOL iterations 5 63 8 SNES Function norm 1.34519e-08 64L_2 Error: 0.000629251 65Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 8 66SNES Object: 4 MPI processes 67 type: newtonls 68 maximum iterations=50, maximum function evaluations=10000 69 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 70 total number of linear solver iterations=38 71 total number of function evaluations=9 72 norm schedule ALWAYS 73 SNESLineSearch Object: 4 MPI processes 74 type: bt 75 interpolation: cubic 76 alpha=1.000000e-04 77 maxstep=1.000000e+08, minlambda=1.000000e-12 78 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 79 maximum iterations=40 80 KSP Object: 4 MPI processes 81 type: gmres 82 restart=100, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 83 happy breakdown tolerance 1e-30 84 maximum iterations=10000, initial guess is zero 85 tolerances: relative=0.1, absolute=1e-50, divergence=10000. 86 left preconditioning 87 using PRECONDITIONED norm type for convergence test 88 PC Object: 4 MPI processes 89 type: hpddm 90 levels: 2 91 Neumann matrix attached? TRUE 92 shared subdomain KSP between SLEPc and PETSc? FALSE 93 coarse correction: DEFLATED 94 on process #0, value (+ threshold if available) for selecting deflation vectors: 0 (0.1) 95 grid and operator complexities: 1.0039 1.00046 96 KSP Object: (pc_hpddm_levels_1_) 4 MPI processes 97 type: preonly 98 maximum iterations=10000, initial guess is zero 99 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 100 left preconditioning 101 using NONE norm type for convergence test 102 PC Object: (pc_hpddm_levels_1_) 4 MPI processes 103 type: shell 104 no name 105 linear system matrix = precond matrix: 106 Mat Object: 4 MPI processes 107 type: mpiaij 108 rows=513, cols=513 109 total: nonzeros=4345, allocated nonzeros=4345 110 total number of mallocs used during MatSetValues calls=0 111 not using I-node (on process 0) routines 112 PC Object: (pc_hpddm_levels_1_) 4 MPI processes 113 type: bjacobi 114 number of blocks = 4 115 Local solver information for first block is in the following KSP and PC objects on rank 0: 116 Use -pc_hpddm_levels_1_ksp_view ::ascii_info_detail to display information for all blocks 117 KSP Object: (pc_hpddm_levels_1_sub_) 1 MPI process 118 type: preonly 119 maximum iterations=10000, initial guess is zero 120 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 121 left preconditioning 122 using NONE norm type for convergence test 123 PC Object: (pc_hpddm_levels_1_sub_) 1 MPI process 124 type: lu 125 out-of-place factorization 126 tolerance for zero pivot 2.22045e-14 127 matrix ordering: nd 128 factor fill ratio given 5., needed 1.9272 129 Factored matrix follows: 130 Mat Object: (pc_hpddm_levels_1_sub_) 1 MPI process 131 type: seqaij 132 rows=109, cols=109 133 package used to perform factorization: petsc 134 total: nonzeros=1509, allocated nonzeros=1509 135 not using I-node routines 136 linear system matrix = precond matrix: 137 Mat Object: (pc_hpddm_levels_1_sub_) 1 MPI process 138 type: seqaij 139 rows=109, cols=109 140 total: nonzeros=783, allocated nonzeros=783 141 total number of mallocs used during MatSetValues calls=0 142 not using I-node routines 143 linear system matrix = precond matrix: 144 Mat Object: 4 MPI processes 145 type: mpiaij 146 rows=513, cols=513 147 total: nonzeros=4345, allocated nonzeros=4345 148 total number of mallocs used during MatSetValues calls=0 149 not using I-node (on process 0) routines 150 KSP Object: (pc_hpddm_coarse_) 2 MPI processes 151 type: preonly 152 maximum iterations=10000, initial guess is zero 153 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 154 left preconditioning 155 using NONE norm type for convergence test 156 PC Object: (pc_hpddm_coarse_) 2 MPI processes 157 type: redundant 158 First (color=0) of 2 PCs follows 159 KSP Object: (pc_hpddm_coarse_redundant_) 1 MPI process 160 type: preonly 161 maximum iterations=10000, initial guess is zero 162 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 163 left preconditioning 164 using NONE norm type for convergence test 165 PC Object: (pc_hpddm_coarse_redundant_) 1 MPI process 166 type: cholesky 167 out-of-place factorization 168 tolerance for zero pivot 2.22045e-14 169 matrix ordering: natural 170 factor fill ratio given 5., needed 1. 171 Factored matrix follows: 172 Mat Object: (pc_hpddm_coarse_redundant_) 1 MPI process 173 type: seqsbaij 174 rows=2, cols=2 175 package used to perform factorization: petsc 176 total: nonzeros=2, allocated nonzeros=2 177 block size is 1 178 linear system matrix = precond matrix: 179 Mat Object: 1 MPI process 180 type: seqsbaij 181 rows=2, cols=2 182 total: nonzeros=2, allocated nonzeros=2 183 total number of mallocs used during MatSetValues calls=0 184 block size is 1 185 linear system matrix = precond matrix: 186 Mat Object: (pc_hpddm_coarse_) 2 MPI processes 187 type: mpisbaij 188 rows=2, cols=2 189 total: nonzeros=2, allocated nonzeros=2 190 total number of mallocs used during MatSetValues calls=0 191 block size is 1 192 linear system matrix = precond matrix: 193 Mat Object: 4 MPI processes 194 type: mpiaij 195 rows=513, cols=513 196 total: nonzeros=4345, allocated nonzeros=4345 197 total number of mallocs used during MatSetValues calls=0 198 not using I-node (on process 0) routines 199